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Home/Compare/Baichuan-7B vs Chinese-LLaMA-Alpaca-2

Comparison

Baichuan-7B vs Chinese-LLaMA-Alpaca-2

Verdict

Pick Baichuan-7B if baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages; pick Chinese-LLaMA-Alpaca-2 if chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署.

Markdown twin · Baichuan-7B alternatives · Chinese-LLaMA-Alpaca-2 alternatives

GraphCanon updated Sep 20, 2026

15views this month

Baichuan-7B logo

Baichuan-7B

baichuan-inc/Baichuan-7B

★ 5.7kpushed Jul 18, 2024
vs
Chinese-LLaMA-Alpaca-2 logo

Chinese-LLaMA-Alpaca-2

ymcui/Chinese-LLaMA-Alpaca-2

★ 7.1kpushed Apr 19, 2026

Trust & integrity

SignalBaichuan-7BChinese-LLaMA-Alpaca-2
Maintenance
Dormant (759d since push)
As of Aug 17, 2026 · github_public_v1
Slowing (152d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 17, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
Baichuan-7B trust reportChinese-LLaMA-Alpaca-2 trust reportTrust methodology

Tagline

Baichuan-7B
A large-scale 7B pretraining language model
Chinese-LLaMA-Alpaca-2
Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models

Stars

Baichuan-7B
5.7k
Chinese-LLaMA-Alpaca-2
7.1k

Forks

Baichuan-7B
500
Chinese-LLaMA-Alpaca-2
559

Open issues

Baichuan-7B
88
Chinese-LLaMA-Alpaca-2
6

Language

Baichuan-7B
Python
Chinese-LLaMA-Alpaca-2
Python

Adopt for

Baichuan-7B
Baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages.
Chinese-LLaMA-Alpaca-2
Chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署

Persona

Baichuan-7B
-
Chinese-LLaMA-Alpaca-2
-

Runtime

Baichuan-7B
-
Chinese-LLaMA-Alpaca-2
-

License

Baichuan-7B
Apache-2.0
Chinese-LLaMA-Alpaca-2
Apache-2.0

Last pushed

Baichuan-7B
Jul 18, 2024
Chinese-LLaMA-Alpaca-2
Apr 19, 2026

Categories

Baichuan-7B
LLM Frameworks
Chinese-LLaMA-Alpaca-2
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

Baichuan-7B
Dormant (18%)
Chinese-LLaMA-Alpaca-2
Slowing (36%)

Days since push

Baichuan-7B
759d
Chinese-LLaMA-Alpaca-2
152d

Open issues (now)

Baichuan-7B
88
Chinese-LLaMA-Alpaca-2
6

Stars delta

Baichuan-7B
-1 (30d)
Chinese-LLaMA-Alpaca-2
-6 (30d)

Owner type

Baichuan-7B
Organization
Chinese-LLaMA-Alpaca-2
User

Full report

Baichuan-7B
Trust report
Chinese-LLaMA-Alpaca-2
Trust report

Choose Baichuan-7B if…

  • Tags unique to Baichuan-7B: artificial-intelligence, ceval, chatgpt, chinese.
  • If the project requires strong Chinese language proficiency, as Baichuan-7B has been optimized through extensive training specifically targeting Chinese language tasks.

When NOT to use Baichuan-7B

  • If the application primarily deals with languages other than English and Chinese, as Baichuan-7B's training has been focused on these two languages.
  • When a model smaller than 7-billion parameters is sufficient for the use case, especially if reducing inference time or resource consumption is more critical.
GitHubDetails

Choose Chinese-LLaMA-Alpaca-2 if…

  • Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention.
  • Also covers Inference & Serving, Model Training.
  • When you need Chinese-specific large language models with long context capabilities up to 64K.

When NOT to use Chinese-LLaMA-Alpaca-2

  • If you need models that support languages other than Chinese, as this repository focuses on Chinese models.
  • If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K.
  • If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose.
GitHubDetails

Explore

Baichuan-7B trust report →Chinese-LLaMA-Alpaca-2 trust report →LLM Frameworks category →Inference & Serving category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Baichuan-7B 5.7k · Chinese-LLaMA-Alpaca-2 7.1k (synced Sep 20, 2026).

Common questions

What is the difference between Baichuan-7B and Chinese-LLaMA-Alpaca-2?
Baichuan-7B: A large-scale 7B pretraining language model. Chinese-LLaMA-Alpaca-2: Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models. See the comparison table for live GitHub stats and shared categories.
When should I choose Baichuan-7B over Chinese-LLaMA-Alpaca-2?
Choose Baichuan-7B over Chinese-LLaMA-Alpaca-2 when Tags unique to Baichuan-7B: artificial-intelligence, ceval, chatgpt, chinese; If the project requires strong Chinese language proficiency, as Baichuan-7B has been optimized through extensive training specifically targeting Chinese language tasks.
When should I choose Chinese-LLaMA-Alpaca-2 over Baichuan-7B?
Choose Chinese-LLaMA-Alpaca-2 over Baichuan-7B when Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention; Also covers Inference & Serving, Model Training; When you need Chinese-specific large language models with long context capabilities up to 64K.
When should I avoid Baichuan-7B?
If the application primarily deals with languages other than English and Chinese, as Baichuan-7B's training has been focused on these two languages. When a model smaller than 7-billion parameters is sufficient for the use case, especially if reducing inference time or resource consumption is more critical.
When should I avoid Chinese-LLaMA-Alpaca-2?
If you need models that support languages other than Chinese, as this repository focuses on Chinese models. If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose.
Is Baichuan-7B or Chinese-LLaMA-Alpaca-2 more popular on GitHub?
Chinese-LLaMA-Alpaca-2 has more GitHub stars (7,118 vs 5,650). Stars measure visibility, not whether either tool fits your constraints.
Are Baichuan-7B and Chinese-LLaMA-Alpaca-2 open source?
Yes - both are open-source projects on GitHub (Baichuan-7B: Apache-2.0, Chinese-LLaMA-Alpaca-2: Apache-2.0).
Where can I find alternatives to Baichuan-7B or Chinese-LLaMA-Alpaca-2?
GraphCanon lists graph-backed alternatives at Baichuan-7B alternatives and Chinese-LLaMA-Alpaca-2 alternatives (Baichuan-7B markdown twin, Chinese-LLaMA-Alpaca-2 markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, Baichuan-7B or Chinese-LLaMA-Alpaca-2?
Baichuan-7B: Dormant. Chinese-LLaMA-Alpaca-2: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for Baichuan-7B and Chinese-LLaMA-Alpaca-2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Baichuan-7B trust report; Chinese-LLaMA-Alpaca-2 trust report.

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